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awalcutt

Washington State Legislature MCP Server

by awalcutt

search_bills

Search for Washington State legislative bills using keyword queries, with optional filters for biennium and agency.

Instructions

Search for bills using keywords and optional filtering.

This function uses the WSL Search API to find bills matching the provided query with optional filtering by biennium and agency.

Args: query: Search query text (e.g., "climate change", "transportation") bienniums: List of bienniums to search (format: "YYYY-YY") (optional, defaults to current) agency: Filter by originating agency ("House", "Senate", or "Both") (optional, defaults to "Both") max_results: Maximum number of total results to return (max 100)

Returns: Dict containing list of bills matching the search criteria

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
bienniumsNo
agencyNo
max_resultsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries the burden. It mentions using the 'WSL Search API' and returns a 'Dict containing list of bills,' but lacks details on pagination, rate limits, or error handling. Adequate but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with a one-line summary, then args list and returns. The Args section is slightly redundant with schema but adds value. No wasted sentences.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given an output schema exists (flagged true), the description provides sufficient context for a search tool. It covers query, filters, and result type, fitting well among sibling tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description must add meaning. It provides examples for query, explains biennium format, agency options, and max_results limit, which significantly enhances the schema's minimal info.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Search for bills using keywords and optional filtering' clearly states the verb (search) and resource (bills), distinguishing it from sibling tools like get_bill_info or get_bills_by_year.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Description lists optional filters but does not explicitly state when to use this tool versus alternatives like get_bills_by_year. Implicit usage is clear, but no when-not-to guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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